Bibliographic Information

Fundamentals of social statistics

Kirk W. Elifson, Richard P. Runyon, and Audrey Haber

(McGraw-Hill international editions, Sociology Series)

McGraw-Hill, 1998

3rd ed., international ed

  • : pbk

Available at  / 10 libraries

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Note

Bibliography: p. 490-492

Includes index

Description and Table of Contents

Volume

: pbk ISBN 9780070215795

Description

This text provides an introduction to a wide variety of statistical techniques frequently used in the social and behavioural sciences. Topics covered include: HIV/AIDS; health; gender; race; inequality; and crime. Case examples are included.

Table of Contents

  • Part 1 Introduction: the definition of statistical analysis
  • basic mathematical concepts. Part 2 Descriptive statistics: frequency distribution and graphing techniques
  • percentiles
  • measures of central tendency
  • measures of dispersion
  • the standard deviation and the standard distribution
  • an introduction to contingency tables
  • correlation
  • regression and prediction
  • multivariate data analysis. Part 3 Inferential statistics: parametric tests of significance
  • probability
  • introduction to statistical inference
  • statistical inference and continuous variables
  • an introduction to the analysis of variance. Part 4 Inferential statistics: nonparametric tests of significance
  • statistical inference with categorical variables - Chi Square and related measures
  • statistical inference - ordinally scaled variables. Part 5 Appendices: a review of basic mathematics
  • glossary of symbols
  • tables
  • glossary of terms
  • references. Part 6 Answers to selected exercised.
Volume

ISBN 9780071156905

Description

A general introduction and overview of descriptive statistics, with complete coverage of inferential statistics. The text emphasizes the interpretation of data, particularly computer analysis using SPSS, it gives real-life examples and learning aids include examples of completed solutions.

Table of Contents

Part 1: Introduction: The Definition of Statistical Analysis. Basic Mathematical Concepts. Part 2: Descriptive Statistics: Frequency Distributions and Graphing Techniques. Percentiles. Measures of Central Tendency. Measures of Dispersion. The Standard Deviation and the Standard Normal Distribution. An Introduction to Contingency Tables. Correlation. Regression and Prediction. Multivariate Data Analysis. Part 3: Inferential Statistics: Parametric Tests of Significance. Probability. Introduction to Statistical Inference. Statistical Inference and Continuous Variables. An Introduction to the Analysis of Variance. Part 4: Inferential Statistics: Nonparametric Tests of Significance. Statistical Inference with Categorical Variables: Chi Square and Related Measures. Statistical Inference: Ordinally Scaled Variables. Part 5: Appendices: Review of Basic Mathematics. Glossary of Symbols.Tables. Glossary of Terms. References. Part 6: Answers to Selected Exercised.

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